class_docstr: Base helper class for next frame tests.
code: def RunModel(self, model, hparams, features):
      with tf.Session() as session:
          model = model(hparams, tf_estimator.ModeKeys.TRAIN)
          logits, _ = model(features)
          session.run(tf.global_variables_initializer())
          res = session.run(logits)
      return res
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import video_generated
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling the BaseNextFrameTest obj's underlying member method code with example usage: obj.RunModel(model, hparams, features) and returns: res